This dataset contains information extracted from Certificate of Need (CON) applications, Limited Review Applications (LRAs) and Notices submitted by health care and long term care providers licensed by the New York State Department of Health.

This dataset shows the lead testing in school drinking water sampling and results information reported by each NYS public school and Boards of Cooperative Educational Services (BOCES) for Compliance Year 2020.

Public Health Law (Section 110) and New York State (NYS) Department of Health regulation (10 NYCRR 67-4) mandate that NYS public school districts and BOCES test drinking water for lead contamination and report the results to parents, the NYS Department of Health, NY State Education Department, and local health departments. The regulation required school districts and BOCES complete their sampling by the fall of 2016, and test again in 2020, and at least every five years thereafter or at an earlier time as determined by the Commissioner of Health. This dataset shows the results of lead testing in school drinking water reported by each public school district and BOCES for Compliance Year 2020. 

The Lead Testing in School Drinking Water regulations may be found here: https://regs.health.ny.gov/book/export/html/56608
 
Additional information about the Lead Testing in School Drinking Water program may be found here: 
http://www.health.ny.gov/environmental/water/drinking/lead/lead_testing_of_school_drinking_water.htm

Data from other compliance years are also available on Health Data NY.

This dataset includes information at the reporting facility level on patients hospitalized, admitted, discharged and fatalities. It also includes information on staffed beds. Patient information collected as part of the HERDS Hospital Survey are lab-confirmed COVID-19 positive. Hospitalized means patients admitted as inpatients in either inpatient or observation beds and does not include patients that were treated and released from an Emergency Department. The title of this dataset was initially the Hospital Electronic Response Data System (HERDS) Hospital Survey: COVID-19 Hospitalizations and Beds. The dataset was changed to its current title on 11/4/2021.

This dataset includes information at the report date level on patients admitted for inpatient care to the hospital that are lab-confirmed COVID-19 positive. Admitted means that the patient was newly admitted to the hospital or was confirmed positive after admission. Zip Code information became available for COVID-19 admissions as of May 2, 2020. Hospitalized means patients admitted as inpatients in either inpatient or observation beds and does not include patients that were treated and released from an Emergency Department. The title of this dataset was initially the Hospital Electronic Response Data System (HERDS) Hospital Survey: COVID-19 Admissions by Zip Code. The dataset was changed to its current title on 11/4/2021.

This dataset includes the number of patients hospitalized, and number of patients in the intensive care unit (ICU) among patients with lab-confirmed COVID-19 disease by hospital region and reporting date. The primary goal of publishing this dataset is to provide users with timely information about hospitalizations among patients with lab-confirmed COVID-19 disease.

The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals are required to complete this survey daily and data reflects the number of patients hospitalized and number of patients in the ICU reported by hospitals through the survey each day. These data include NYS resident and non-NYS resident hospitalizations. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in mid-March 2020.

To calculate regional totals, the number of patients hospitalized and number of patients in the ICU are each summed by hospital region and reporting date.

The information in this dataset is updated daily on NY Forward; New York State’s resource for COVID-19 testing, early warning monitoring, and regional daily hospitalization dashboards. More information can be found at forward.ny.gov.

This dataset includes the cumulative number and percent of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date and patient sex. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.

The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.

The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.

The fatality numbers in this dataset are calculated by summing the patient fatalities by patient sex, as of each reporting date. The statewide total fatality numbers are calculated by summing the number of fatalities across all patient sexes, by reporting date. The fatality percentages are calculated by dividing the number of fatalities in each patient sex by the statewide total number of fatalities, by reporting date. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.

This dataset includes the cumulative number of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date, patient county of residence, and patient fatalities that occurred based on the facility county. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.

The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.
The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.

The county fatality numbers in this dataset are calculated by summing the number of fatalities by patient county of residence and reporting date, and patient fatalities that occurred based on the facility county, respectively. The statewide fatality numbers are calculated by summing the number of fatalities across all patient counties of residence, and across all facilities by county, by reporting date, respectively. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.

This dataset includes information at the report date level on patients admitted for inpatient care to the hospital that are lab-confirmed COVID-19 positive. Admitted means that the patient was newly admitted to the hospital or was confirmed positive after admission. Gender information became available for COVID-19 admissions as of May 2, 2020. Hospitalized means patients admitted as inpatients in either inpatient or observation beds and does not include patients that were treated and released from an Emergency Department. The title of this dataset was initially the Hospital Electronic Response Data System (HERDS) Hospital Survey: COVID-19 Admissions by Gender. The dataset was changed to its current title on 11/4/2021.

This dataset includes information on the number of tests of individuals for COVID-19 infection performed in New York State beginning March 1, 2020, when the first case of COVID-19 was identified in the state. The primary goal of publishing this dataset is to provide users timely information about local disease spread and reporting of positive cases. The data will be updated daily, reflecting tests completed by 12:00 am (midnight) the day of the update (i.e., all tests reported by the end of the day on the day before the update).

Note: On November 14, 2020, only 14 hours of laboratory data was collected and shared. A 2:00 pm cutoff time was implemented, allowing the NYSDOH to enhance data quality reviews. All other published laboratory data represented 24 hours of data collection.

As of 4/4/22, the Department of Health and Human Services (HHS) no longer requires entities conducting COVID testing to report negative or indeterminate antigen test results. This may impact the number and interpretation of total test results reported to the state and also impacts calculation of test percent positivity. Because of this, as of 4/5/22, test percent positivity is calculated using PCR tests only. Reporting of total new daily cases (positive results) will continue to include PCR and antigen tests.

Reporting of SARS-CoV2 laboratory testing results is mandated under Part 2 of the New York State Sanitary Code. Clinical laboratories, as defined in Public Health Law (PHL) § 571 electronically report test results to the New York State Department of Health (DOH) via the Electronic Clinical Laboratory Reporting System (ECLRS). The DOH Division of Epidemiology’s Bureau of Surveillance and Data System (BSDS) monitors ECLRS reporting and ensures that all positives and negatives are accurate. Starting September 30, 2020, this data also includes pooled/batch tests reported by institutions of higher education. This is also known as surveillance testing and not performed by a clinical laboratory.

Test counts reflect those reported to DOH each day. A person may have multiple specimens tested on one day, these would be counted one time, i.e., if two specimens are collected from an individual at the same time and then evaluated, the outcome of the evaluation of those two samples to diagnose the individual is counted as a single test of one person, even though the specimens may be tested separately. Conversely, if an individual is tested on more than one day, the data will show two tests of an individual, one for each date the person was tested. An individual will only be counted positive one time.

Test counts are assigned to a county based on this order of preference: 1) the patient’s address, 2) the ordering healthcare provider/campus address, or 3) the ordering facility/campus address.

This dataset includes the cumulative number and percent of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date and age group. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.

The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.

The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.

The fatality numbers in this dataset are calculated by assigning age groups to each patient based on the patient age, then summing the patient fatalities within each age group, as of each reporting date. The statewide total fatality numbers are calculated by summing the number of fatalities across all age groups, by reporting date. The fatality percentages are calculated by dividing the number of fatalities in each age group by the statewide total number of fatalities, by reporting date. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.

This data includes the name and location of food service establishments and the violations that were found at the time of their last inspection. Although violation details are collected on inspection reports (i.e., the actual food item, quantity and temperature of food found out of temperature control) as well as corrective actions for critical violations, this data set is limited to the violation number and the corresponding general violation description. This dataset is for reporting purposes only. Any concerns about individual establishments should be referred to the corresponding Local Health Department. Contact information can be found at http://www.health.ny.gov/environmental/water/drinking/doh_pub_contacts_map.htm

The point map shows violations found during the last inspection of the food service establishments. The initial view of the map is broken up into large geographic areas and displays the number of violations in each area. To drill down to a smaller geographic area, click directly on the area of the map or click the plus sign to zoom in on the map. The map can be filtered by facility, city, and county by changing these options under the Filter tab. Last inspection data is the most recently submitted and available data. Although violation details are collected on inspection reports (i.e., the actual food item, quantity and temperature of food found out of temperature control) as well as corrective actions for critical violations, this data set is limited to the violation number and the corresponding general violation description. Requests for more detailed information or actual copies of inspection reports should be directed to the local health department or State District Office which conducted the inspections in question. This map is for reporting purposes only. Any concerns about individual establishments should be referred to the corresponding Local Health Department. Contact information can be found at http://www.health.ny.gov/environmental/water/drinking/doh_pub_contacts_map.htm

This map excludes inspections conducted in New York City (https://nycopendata.socrata.com/), Suffolk County
(http://apps.suffolkcountyny.gov/health/Restaurant/intro.html) and Erie County (http://www.healthspace.com/erieny). Inspections are a snapshot in time and are not always reflective of the day-to-day operations and overall condition of an establishment. This map is currently updated monthly. Occasionally, remediation may not appear until the following month due to the timing of the updates. Some counties provide this information on their own websites and information found there may be more frequently updated.

For more information, please see: https://regs.health.ny.gov/volume-title-10/1997429580/subpart-14-1-food-service-establishments

This data includes the name and location of active food service establishments and the violations that were found at the time of the inspection. Inspections are a snapshot in time and are not always reflective of the day-to-day operations and overall condition of an establishment.

This data includes the name and location of inactive food service establishments and the violations that were found at the time of the inspection. Inactive food service establishments include only establishments that are no longer in business or have not operated for an extended period of time. Inspections are a “snapshot” in time and are not always reflective of the day-to-day operations and overall condition of an establishment. This dataset is refreshed on a monthly basis.

Note: As of 6/24/22, this dataset will be updated weekly on Friday afternoons.

This dataset reports daily on the number of people vaccinated by New York providers with at least one dose and with a complete COVID-19 vaccination series overall since December 14, 2020. New York providers include hospitals, mass vaccination sites operated by the State or local governments, pharmacies, and other providers registered with the State to serve as points of distribution.

This dataset is created by the New York State Department of Health from data reported to the New York State Immunization Information System (NYSIIS) and the New York City Citywide Immunization Registry (NYC CIR). County-level vaccination data is based on data reported to NYSIIS and NYC CIR by the providers administering vaccines. Residency is self-reported by the individual being vaccinated. This data does not include vaccine administered through Federal entities or performed outside of New York State to New York residents. NYSIIS and CIR data is used for county-level statistics. New York State Department of Health requires all New York State vaccination providers to report all COVID-19 vaccination administration data to NYSIIS and NYC CIR within 24 hours of administration.

This dataset reports the number of reinfections in New York State since January 2021. A reinfection is when a person becomes infected with COVID and later becomes infected again. A person is considered a reinfection if they test positive again 90 days or more after their first positive test. The goal of this dataset is to provide users timely information about the trends in reinfections in New York State. This dataset is created by the New York State Department of Health from data reported to Electronica Clinical Laboratory Reporting System (ECLRS).

This dataset includes weekly counts of laboratory-confirmed influenza (flu) cases, by county and influenza type, going back to the 2009-10 season. The primary goal of this dataset is to provide users timely information about local influenza activity throughout the current influenza season. Although each influenza season is unique, historical data is also provided for trend comparison. In view of persisting elevated influenza activity throughout NYS, NYSDOH is extending the surveillance 2021-2022 season beyond May until influenza activity has decreased. In view of persisting elevated influenza activity throughout NYS, NYSDOH is extending the surveillance season beyond May until influenza activity has decreased.

Cases are included that meet the New York State Department of Health’s (NYSDOH) standardized case definition, i.e., a positive result on any of the following influenza laboratory tests:
• Rapid Influenza Diagnostic Tests (RIDT)
• Immunofluorescence assays (DFA and IFA)
• Rapid Molecular Assays
• Reverse Transcriptase Polymerase Chain Reaction (RT-PCR)
• Other Nucleic Acid Amplification tests
• Viral Culture
Please see the overview document for more details about NYSDOH’s influenza case definition. Cases reported during the CDC-defined influenza surveillance season (week 40-week 20 of the next calendar year; October through mid-May) are included. For more information see: http://www.health.ny.gov/diseases/communicable/influenza/surveillance/.

This dataset provides the results from collecting and testing nymph deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen.

Nymph deer ticks are tested in “pools”, or groups of up to ten adult ticks per pool, for the Powassan virus, also known as Deer tick virus. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide nymph tick minimum infection rates at a precise location and at one point in time. Both measures, tick population density and minimum infection percentages, can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen.

Adult deer ticks are tested in “pools”, or groups of up to ten adult ticks per pool, for the Powassan virus, also known as Deer tick virus. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide adult tick minimum infection rates at a precise location and at a point in time. Both measures, tick population density and minimum infection percentages, can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

This map contains information on the adult life stage collection and testing results of blacklegged ticks (most commonly seen in fall and late winter/early spring) from various locations across New York State. These ticks were tested in “pools”, groups of up to ten ticks per sample, for the human pathogen Powassan virus, also known as Deer tick virus. This map helps generate awareness on the tick populations that had pools that tested positive for Powassan virus.

The data presented here also depicts the number of sites sampled per county, as well as the total number of ticks tested. Both tick density and pathogen infection percentage can vary greatly within a very small area, and definitely vary widely within a county. Therefore, these data should not be used to broadly predict disease risk for a larger or smaller area, such as for the county or the town. They should be used simply to educate that there is a risk to ticks and tick-borne diseases.

Further below on this page you can find links to the Department of Health tick prevention page, a video link on how to safely remove a tick should it attach, and a link to a list of county health departments.

This dataset provides the results from collecting and testing nymph deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen.

Nymph deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide nymph tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

This interactive chart provides the average number of nymph deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis, collected per 1,000 meters sampled in the county (tick population density). Use the filters below to compare counties by year.

Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen. Tick population density can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

This interactive chart provides the average number of adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis, collected per 1,000 meters sampled in the county (tick population density). Use the filters below to compare counties by year.

Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen. Tick population density can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen.

Adult deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide adult tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.